{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import akshare as ak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180618非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n",
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180623非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n",
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180624非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n",
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180630非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n",
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180701非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n",
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180707非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n",
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180708非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n",
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180714非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n",
      "D:\\Software\\Anaconda3\\lib\\site-packages\\akshare\\futures\\futures_roll_yield.py:151: UserWarning: 20180715非交易日\n",
      "  warnings.warn(\"%s非交易日\" % date.strftime(\"%Y%m%d\"))\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            roll_yield near_by deferred\n",
      "2018-06-19    0.191289  RB1810   RB1901\n",
      "2018-06-20    0.192123  RB1810   RB1901\n",
      "2018-06-21    0.183304  RB1810   RB1901\n",
      "2018-06-22    0.190642  RB1810   RB1901\n",
      "2018-06-25    0.194838  RB1810   RB1901\n",
      "2018-06-26    0.204314  RB1810   RB1901\n",
      "2018-06-27    0.213667  RB1810   RB1901\n",
      "2018-06-28    0.211701  RB1810   RB1901\n",
      "2018-06-29    0.205892  RB1810   RB1901\n",
      "2018-07-02    0.224809  RB1810   RB1901\n",
      "2018-07-03    0.229198  RB1810   RB1901\n",
      "2018-07-04    0.222853  RB1810   RB1901\n",
      "2018-07-05    0.247187  RB1810   RB1901\n",
      "2018-07-06    0.261259  RB1810   RB1901\n",
      "2018-07-09    0.253283  RB1810   RB1901\n",
      "2018-07-10    0.225832  RB1810   RB1901\n",
      "2018-07-11    0.210659  RB1810   RB1901\n",
      "2018-07-12    0.212805  RB1810   RB1901\n",
      "2018-07-13    0.170282  RB1810   RB1901\n",
      "2018-07-16    0.218066  RB1810   RB1901\n",
      "2018-07-17    0.229768  RB1810   RB1901\n",
      "2018-07-18    0.225529  RB1810   RB1901\n"
     ]
    }
   ],
   "source": [
    "get_roll_yield_bar_df = ak.get_roll_yield_bar(type_method=\"date\", var=\"RB\", start_day=\"20180618\", end_day=\"20180718\", plot=True)\n",
    "print(get_roll_yield_bar_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>item</th>\n",
       "      <th>number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>总貌</td>\n",
       "      <td>上市公司/家</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>总貌</td>\n",
       "      <td>总股本/亿股（份）</td>\n",
       "      <td>42942.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>总貌</td>\n",
       "      <td>总市值/亿元</td>\n",
       "      <td>456521.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>总貌</td>\n",
       "      <td>平均市盈率/倍</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>总貌</td>\n",
       "      <td>上市股票/只</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>总貌</td>\n",
       "      <td>流通股本/亿股（份）</td>\n",
       "      <td>38136.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>总貌</td>\n",
       "      <td>流通市值/亿元</td>\n",
       "      <td>385982.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>主板</td>\n",
       "      <td>上市公司/家</td>\n",
       "      <td>1601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>主板</td>\n",
       "      <td>总股本/亿股</td>\n",
       "      <td>42229.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>主板</td>\n",
       "      <td>总市值/亿元</td>\n",
       "      <td>423386.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>主板</td>\n",
       "      <td>平均市盈率/倍</td>\n",
       "      <td>15.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>主板</td>\n",
       "      <td>上市股票/只</td>\n",
       "      <td>1644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>主板</td>\n",
       "      <td>流通股本/亿股</td>\n",
       "      <td>37935.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>主板</td>\n",
       "      <td>流通市值/亿元</td>\n",
       "      <td>375145.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>科创板</td>\n",
       "      <td>上市公司/家</td>\n",
       "      <td>257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>科创板</td>\n",
       "      <td>总股本/亿股（份）</td>\n",
       "      <td>712.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>科创板</td>\n",
       "      <td>总市值/亿元</td>\n",
       "      <td>33134.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>科创板</td>\n",
       "      <td>平均市盈率/倍</td>\n",
       "      <td>82.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>科创板</td>\n",
       "      <td>上市股票/只</td>\n",
       "      <td>257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>科创板</td>\n",
       "      <td>流通股本/亿股（份）</td>\n",
       "      <td>200.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>科创板</td>\n",
       "      <td>流通市值/亿元</td>\n",
       "      <td>10837.17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  type        item     number\n",
       "0   总貌      上市公司/家          -\n",
       "1   总貌   总股本/亿股（份）   42942.08\n",
       "2   总貌      总市值/亿元  456521.37\n",
       "3   总貌     平均市盈率/倍          -\n",
       "0   总貌      上市股票/只          -\n",
       "1   总貌  流通股本/亿股（份）   38136.44\n",
       "2   总貌     流通市值/亿元  385982.19\n",
       "0   主板      上市公司/家       1601\n",
       "1   主板      总股本/亿股   42229.84\n",
       "2   主板      总市值/亿元  423386.52\n",
       "3   主板     平均市盈率/倍      15.86\n",
       "0   主板      上市股票/只       1644\n",
       "1   主板     流通股本/亿股   37935.84\n",
       "2   主板     流通市值/亿元  375145.02\n",
       "0  科创板      上市公司/家        257\n",
       "1  科创板   总股本/亿股（份）     712.24\n",
       "2  科创板      总市值/亿元   33134.85\n",
       "3  科创板     平均市盈率/倍      82.52\n",
       "0  科创板      上市股票/只        257\n",
       "1  科创板  流通股本/亿股（份）     200.60\n",
       "2  科创板     流通市值/亿元   10837.17"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ak.stock_sse_summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>证券类别</th>\n",
       "      <th>数量(只)</th>\n",
       "      <th>成交金额(元)</th>\n",
       "      <th>成交量</th>\n",
       "      <th>总股本</th>\n",
       "      <th>总市值</th>\n",
       "      <th>流通股本</th>\n",
       "      <th>流通市值</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>股票</td>\n",
       "      <td>2284</td>\n",
       "      <td>464774868848.30</td>\n",
       "      <td>36234796444</td>\n",
       "      <td>2221596655427</td>\n",
       "      <td>27065137543076.86</td>\n",
       "      <td>1815555842156</td>\n",
       "      <td>21045462688142.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>主板A股</td>\n",
       "      <td>460</td>\n",
       "      <td>97759499936.17</td>\n",
       "      <td>9928147626</td>\n",
       "      <td>815786337216</td>\n",
       "      <td>7864786582883.69</td>\n",
       "      <td>715360951728</td>\n",
       "      <td>6943989894131.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>主板B股</td>\n",
       "      <td>46</td>\n",
       "      <td>86268155.78</td>\n",
       "      <td>25628042</td>\n",
       "      <td>12626767818</td>\n",
       "      <td>47596578540.85</td>\n",
       "      <td>12496639543</td>\n",
       "      <td>47063848276.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>中小板</td>\n",
       "      <td>960</td>\n",
       "      <td>201352604926.08</td>\n",
       "      <td>16183241554</td>\n",
       "      <td>959049045001</td>\n",
       "      <td>11307409526445.99</td>\n",
       "      <td>751639655163</td>\n",
       "      <td>8669554702599.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>创业板A股</td>\n",
       "      <td>818</td>\n",
       "      <td>165576495830.27</td>\n",
       "      <td>10097779222</td>\n",
       "      <td>434134505392</td>\n",
       "      <td>7845344855206.33</td>\n",
       "      <td>336058595722</td>\n",
       "      <td>5384854243134.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>基金</td>\n",
       "      <td>551</td>\n",
       "      <td>13625235438.85</td>\n",
       "      <td>8488174062</td>\n",
       "      <td>173157786875</td>\n",
       "      <td>241727724562.97</td>\n",
       "      <td>173157786875</td>\n",
       "      <td>241727724562.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ETF</td>\n",
       "      <td>100</td>\n",
       "      <td>11654359536.03</td>\n",
       "      <td>6298875097</td>\n",
       "      <td>92626394745</td>\n",
       "      <td>162829410392.12</td>\n",
       "      <td>92626394745</td>\n",
       "      <td>162829410392.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>LOF</td>\n",
       "      <td>250</td>\n",
       "      <td>733576824.21</td>\n",
       "      <td>905627751</td>\n",
       "      <td>41299172130</td>\n",
       "      <td>40431564774.31</td>\n",
       "      <td>41299172130</td>\n",
       "      <td>40431564774.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>封闭式基金</td>\n",
       "      <td>1</td>\n",
       "      <td>552757.10</td>\n",
       "      <td>5900</td>\n",
       "      <td>8117615</td>\n",
       "      <td>762244048.50</td>\n",
       "      <td>8117615</td>\n",
       "      <td>762244048.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>分级基金</td>\n",
       "      <td>200</td>\n",
       "      <td>1236746321.50</td>\n",
       "      <td>1283665314</td>\n",
       "      <td>39224102385</td>\n",
       "      <td>37704505348.03</td>\n",
       "      <td>39224102385</td>\n",
       "      <td>37704505348.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>债券</td>\n",
       "      <td>7174</td>\n",
       "      <td>137138889356.15</td>\n",
       "      <td>1267097444</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>债券现券</td>\n",
       "      <td>6599</td>\n",
       "      <td>29113574087.95</td>\n",
       "      <td>184874494</td>\n",
       "      <td>367500677468</td>\n",
       "      <td>36838809540657.21</td>\n",
       "      <td>17725345013</td>\n",
       "      <td>1823072039491.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>债券回购</td>\n",
       "      <td>13</td>\n",
       "      <td>105459181000.00</td>\n",
       "      <td>1055429160</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ABS</td>\n",
       "      <td>562</td>\n",
       "      <td>2566134268.20</td>\n",
       "      <td>26793790</td>\n",
       "      <td>5195918879</td>\n",
       "      <td>484964227241.83</td>\n",
       "      <td>5195918879</td>\n",
       "      <td>484964227241.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>期权</td>\n",
       "      <td>108</td>\n",
       "      <td>244155964.00</td>\n",
       "      <td>374868</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     证券类别  数量(只)          成交金额(元)          成交量            总股本  \\\n",
       "0      股票   2284  464774868848.30  36234796444  2221596655427   \n",
       "1    主板A股    460   97759499936.17   9928147626   815786337216   \n",
       "2    主板B股     46      86268155.78     25628042    12626767818   \n",
       "3     中小板    960  201352604926.08  16183241554   959049045001   \n",
       "4   创业板A股    818  165576495830.27  10097779222   434134505392   \n",
       "5      基金    551   13625235438.85   8488174062   173157786875   \n",
       "6     ETF    100   11654359536.03   6298875097    92626394745   \n",
       "7     LOF    250     733576824.21    905627751    41299172130   \n",
       "8   封闭式基金      1        552757.10         5900        8117615   \n",
       "9    分级基金    200    1236746321.50   1283665314    39224102385   \n",
       "10     债券   7174  137138889356.15   1267097444                  \n",
       "11   债券现券   6599   29113574087.95    184874494   367500677468   \n",
       "12   债券回购     13  105459181000.00   1055429160                  \n",
       "13    ABS    562    2566134268.20     26793790     5195918879   \n",
       "14     期权    108     244155964.00       374868                  \n",
       "\n",
       "                  总市值           流通股本               流通市值  \n",
       "0   27065137543076.86  1815555842156  21045462688142.41  \n",
       "1    7864786582883.69   715360951728   6943989894131.95  \n",
       "2      47596578540.85    12496639543     47063848276.06  \n",
       "3   11307409526445.99   751639655163   8669554702599.64  \n",
       "4    7845344855206.33   336058595722   5384854243134.76  \n",
       "5     241727724562.97   173157786875    241727724562.97  \n",
       "6     162829410392.12    92626394745    162829410392.12  \n",
       "7      40431564774.31    41299172130     40431564774.31  \n",
       "8        762244048.50        8117615       762244048.50  \n",
       "9      37704505348.03    39224102385     37704505348.03  \n",
       "10                                                       \n",
       "11  36838809540657.21    17725345013   1823072039491.96  \n",
       "12                                                       \n",
       "13    484964227241.83     5195918879    484964227241.83  \n",
       "14                                                       "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ak.stock_szse_summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>证券类别</th>\n",
       "      <th>数量(只)</th>\n",
       "      <th>成交金额(元)</th>\n",
       "      <th>成交量</th>\n",
       "      <th>总股本</th>\n",
       "      <th>总市值</th>\n",
       "      <th>流通股本</th>\n",
       "      <th>流通市值</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>股票</td>\n",
       "      <td>2440</td>\n",
       "      <td>389085910626.10</td>\n",
       "      <td>33130245829</td>\n",
       "      <td>2312086616723</td>\n",
       "      <td>33374164546505.13</td>\n",
       "      <td>1912622400734</td>\n",
       "      <td>25823135886339.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>主板A股</td>\n",
       "      <td>1466</td>\n",
       "      <td>261322070397.06</td>\n",
       "      <td>26172476378</td>\n",
       "      <td>1839730403091</td>\n",
       "      <td>22879982082352.43</td>\n",
       "      <td>1544245419945</td>\n",
       "      <td>19100917506372.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>主板B股</td>\n",
       "      <td>45</td>\n",
       "      <td>112269218.64</td>\n",
       "      <td>27067527</td>\n",
       "      <td>12165247818</td>\n",
       "      <td>55964972967.98</td>\n",
       "      <td>12035073256</td>\n",
       "      <td>55524271000.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>创业板A股</td>\n",
       "      <td>929</td>\n",
       "      <td>127651571010.40</td>\n",
       "      <td>6930701924</td>\n",
       "      <td>460190965814</td>\n",
       "      <td>10438217491184.72</td>\n",
       "      <td>356341907533</td>\n",
       "      <td>6666694108966.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>基金</td>\n",
       "      <td>451</td>\n",
       "      <td>7915506533.25</td>\n",
       "      <td>4664855120</td>\n",
       "      <td>168814501593</td>\n",
       "      <td>271177417642.76</td>\n",
       "      <td>168814501593</td>\n",
       "      <td>271177417642.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ETF</td>\n",
       "      <td>141</td>\n",
       "      <td>7176389840.54</td>\n",
       "      <td>4152657613</td>\n",
       "      <td>119077417796</td>\n",
       "      <td>204651982123.82</td>\n",
       "      <td>119077417796</td>\n",
       "      <td>204651982123.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>LOF</td>\n",
       "      <td>309</td>\n",
       "      <td>737606374.41</td>\n",
       "      <td>512181907</td>\n",
       "      <td>49728958232</td>\n",
       "      <td>65738848324.68</td>\n",
       "      <td>49728958232</td>\n",
       "      <td>65738848324.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>封闭式基金</td>\n",
       "      <td>1</td>\n",
       "      <td>1510318.30</td>\n",
       "      <td>15600</td>\n",
       "      <td>8125565</td>\n",
       "      <td>786587194.26</td>\n",
       "      <td>8125565</td>\n",
       "      <td>786587194.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>债券</td>\n",
       "      <td>8178</td>\n",
       "      <td>142277001954.34</td>\n",
       "      <td>1390168862</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>债券现券</td>\n",
       "      <td>7450</td>\n",
       "      <td>19738879594.34</td>\n",
       "      <td>163348822</td>\n",
       "      <td>430207872096</td>\n",
       "      <td>42939073314060.06</td>\n",
       "      <td>20673908874</td>\n",
       "      <td>2089540000685.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>债券回购</td>\n",
       "      <td>13</td>\n",
       "      <td>122066752000.00</td>\n",
       "      <td>1221445040</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ABS</td>\n",
       "      <td>715</td>\n",
       "      <td>471370360.00</td>\n",
       "      <td>5375000</td>\n",
       "      <td>6215118209</td>\n",
       "      <td>582899692972.50</td>\n",
       "      <td>6215118209</td>\n",
       "      <td>582899692972.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>期权</td>\n",
       "      <td>102</td>\n",
       "      <td>204195827.00</td>\n",
       "      <td>231732</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     证券类别  数量(只)          成交金额(元)          成交量            总股本  \\\n",
       "0      股票   2440  389085910626.10  33130245829  2312086616723   \n",
       "1    主板A股   1466  261322070397.06  26172476378  1839730403091   \n",
       "2    主板B股     45     112269218.64     27067527    12165247818   \n",
       "3   创业板A股    929  127651571010.40   6930701924   460190965814   \n",
       "4      基金    451    7915506533.25   4664855120   168814501593   \n",
       "5     ETF    141    7176389840.54   4152657613   119077417796   \n",
       "6     LOF    309     737606374.41    512181907    49728958232   \n",
       "7   封闭式基金      1       1510318.30        15600        8125565   \n",
       "8      债券   8178  142277001954.34   1390168862                  \n",
       "9    债券现券   7450   19738879594.34    163348822   430207872096   \n",
       "10   债券回购     13  122066752000.00   1221445040                  \n",
       "11    ABS    715     471370360.00      5375000     6215118209   \n",
       "12     期权    102     204195827.00       231732                  \n",
       "\n",
       "                  总市值           流通股本               流通市值  \n",
       "0   33374164546505.13  1912622400734  25823135886339.38  \n",
       "1   22879982082352.43  1544245419945  19100917506372.40  \n",
       "2      55964972967.98    12035073256     55524271000.31  \n",
       "3   10438217491184.72   356341907533   6666694108966.67  \n",
       "4     271177417642.76   168814501593    271177417642.76  \n",
       "5     204651982123.82   119077417796    204651982123.82  \n",
       "6      65738848324.68    49728958232     65738848324.68  \n",
       "7        786587194.26        8125565       786587194.26  \n",
       "8                                                        \n",
       "9   42939073314060.06    20673908874   2089540000685.72  \n",
       "10                                                       \n",
       "11    582899692972.50     6215118209    582899692972.50  \n",
       "12                                                       "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ak.stock_szse_summary(date = \"20210409\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Please wait for a moment: 100%|████████████████████████████████████████████████████████| 54/54 [00:39<00:00,  1.37it/s]\n"
     ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>名称</th>\n",
       "      <th>最新价</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>买入</th>\n",
       "      <th>卖出</th>\n",
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       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>sh600000</td>\n",
       "      <td>浦发银行</td>\n",
       "      <td>10.59</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-0.657</td>\n",
       "      <td>10.59</td>\n",
       "      <td>10.60</td>\n",
       "      <td>10.66</td>\n",
       "      <td>10.64</td>\n",
       "      <td>10.64</td>\n",
       "      <td>10.53</td>\n",
       "      <td>38683022.0</td>\n",
       "      <td>4.091186e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sh600004</td>\n",
       "      <td>白云机场</td>\n",
       "      <td>13.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>13.03</td>\n",
       "      <td>13.04</td>\n",
       "      <td>13.03</td>\n",
       "      <td>12.99</td>\n",
       "      <td>13.11</td>\n",
       "      <td>12.97</td>\n",
       "      <td>8233163.0</td>\n",
       "      <td>1.072466e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>sh600006</td>\n",
       "      <td>东风汽车</td>\n",
       "      <td>6.28</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.633</td>\n",
       "      <td>6.28</td>\n",
       "      <td>6.29</td>\n",
       "      <td>6.32</td>\n",
       "      <td>6.36</td>\n",
       "      <td>6.38</td>\n",
       "      <td>6.24</td>\n",
       "      <td>25400373.0</td>\n",
       "      <td>1.602379e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>sh600007</td>\n",
       "      <td>中国国贸</td>\n",
       "      <td>12.33</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.735</td>\n",
       "      <td>12.33</td>\n",
       "      <td>12.34</td>\n",
       "      <td>12.24</td>\n",
       "      <td>12.28</td>\n",
       "      <td>12.35</td>\n",
       "      <td>12.15</td>\n",
       "      <td>1344554.0</td>\n",
       "      <td>1.648157e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>sh600008</td>\n",
       "      <td>首创股份</td>\n",
       "      <td>3.10</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-2.208</td>\n",
       "      <td>3.10</td>\n",
       "      <td>3.11</td>\n",
       "      <td>3.17</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.18</td>\n",
       "      <td>3.08</td>\n",
       "      <td>68122798.0</td>\n",
       "      <td>2.123423e+08</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>4242</th>\n",
       "      <td>sz300962</td>\n",
       "      <td>N中金辐</td>\n",
       "      <td>34.70</td>\n",
       "      <td>31.30</td>\n",
       "      <td>920.588</td>\n",
       "      <td>34.70</td>\n",
       "      <td>34.71</td>\n",
       "      <td>3.40</td>\n",
       "      <td>25.88</td>\n",
       "      <td>40.00</td>\n",
       "      <td>24.01</td>\n",
       "      <td>47777021.0</td>\n",
       "      <td>1.275899e+09</td>\n",
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       "    <tr>\n",
       "      <th>4243</th>\n",
       "      <td>sz300963</td>\n",
       "      <td>N中洲</td>\n",
       "      <td>50.11</td>\n",
       "      <td>37.98</td>\n",
       "      <td>313.108</td>\n",
       "      <td>50.11</td>\n",
       "      <td>50.20</td>\n",
       "      <td>12.13</td>\n",
       "      <td>37.50</td>\n",
       "      <td>60.06</td>\n",
       "      <td>37.22</td>\n",
       "      <td>21065628.0</td>\n",
       "      <td>8.950002e+08</td>\n",
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       "    <tr>\n",
       "      <th>4244</th>\n",
       "      <td>sz300965</td>\n",
       "      <td>C恒宇</td>\n",
       "      <td>103.00</td>\n",
       "      <td>-7.52</td>\n",
       "      <td>-6.804</td>\n",
       "      <td>103.00</td>\n",
       "      <td>103.05</td>\n",
       "      <td>110.52</td>\n",
       "      <td>105.50</td>\n",
       "      <td>109.68</td>\n",
       "      <td>101.50</td>\n",
       "      <td>4263452.0</td>\n",
       "      <td>4.454405e+08</td>\n",
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       "    <tr>\n",
       "      <th>4245</th>\n",
       "      <td>sz300966</td>\n",
       "      <td>N共同</td>\n",
       "      <td>56.99</td>\n",
       "      <td>48.75</td>\n",
       "      <td>591.626</td>\n",
       "      <td>56.99</td>\n",
       "      <td>57.00</td>\n",
       "      <td>8.24</td>\n",
       "      <td>35.00</td>\n",
       "      <td>79.98</td>\n",
       "      <td>35.00</td>\n",
       "      <td>20434647.0</td>\n",
       "      <td>8.491400e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4246</th>\n",
       "      <td>sz300999</td>\n",
       "      <td>金龙鱼</td>\n",
       "      <td>79.24</td>\n",
       "      <td>-3.17</td>\n",
       "      <td>-3.847</td>\n",
       "      <td>79.23</td>\n",
       "      <td>79.24</td>\n",
       "      <td>82.41</td>\n",
       "      <td>81.30</td>\n",
       "      <td>81.46</td>\n",
       "      <td>79.24</td>\n",
       "      <td>19846774.0</td>\n",
       "      <td>1.586485e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4247 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            代码    名称     最新价    涨跌额      涨跌幅      买入      卖出      昨收      今开  \\\n",
       "0     sh600000  浦发银行   10.59  -0.07   -0.657   10.59   10.60   10.66   10.64   \n",
       "1     sh600004  白云机场   13.03   0.00    0.000   13.03   13.04   13.03   12.99   \n",
       "2     sh600006  东风汽车    6.28  -0.04   -0.633    6.28    6.29    6.32    6.36   \n",
       "3     sh600007  中国国贸   12.33   0.09    0.735   12.33   12.34   12.24   12.28   \n",
       "4     sh600008  首创股份    3.10  -0.07   -2.208    3.10    3.11    3.17    3.15   \n",
       "...        ...   ...     ...    ...      ...     ...     ...     ...     ...   \n",
       "4242  sz300962  N中金辐   34.70  31.30  920.588   34.70   34.71    3.40   25.88   \n",
       "4243  sz300963   N中洲   50.11  37.98  313.108   50.11   50.20   12.13   37.50   \n",
       "4244  sz300965   C恒宇  103.00  -7.52   -6.804  103.00  103.05  110.52  105.50   \n",
       "4245  sz300966   N共同   56.99  48.75  591.626   56.99   57.00    8.24   35.00   \n",
       "4246  sz300999   金龙鱼   79.24  -3.17   -3.847   79.23   79.24   82.41   81.30   \n",
       "\n",
       "          最高      最低         成交量           成交额  \n",
       "0      10.64   10.53  38683022.0  4.091186e+08  \n",
       "1      13.11   12.97   8233163.0  1.072466e+08  \n",
       "2       6.38    6.24  25400373.0  1.602379e+08  \n",
       "3      12.35   12.15   1344554.0  1.648157e+07  \n",
       "4       3.18    3.08  68122798.0  2.123423e+08  \n",
       "...      ...     ...         ...           ...  \n",
       "4242   40.00   24.01  47777021.0  1.275899e+09  \n",
       "4243   60.06   37.22  21065628.0  8.950002e+08  \n",
       "4244  109.68  101.50   4263452.0  4.454405e+08  \n",
       "4245   79.98   35.00  20434647.0  8.491400e+08  \n",
       "4246   81.46   79.24  19846774.0  1.586485e+09  \n",
       "\n",
       "[4247 rows x 13 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ak.stock_zh_a_spot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2021-04-01</th>\n",
       "      <td>22.08</td>\n",
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       "      <th>2021-04-02</th>\n",
       "      <td>21.70</td>\n",
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       "      <th>2021-04-06</th>\n",
       "      <td>21.55</td>\n",
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       "      <th>2021-04-07</th>\n",
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       "      <th>2021-04-08</th>\n",
       "      <td>21.46</td>\n",
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       "      <th>2021-04-09</th>\n",
       "      <td>21.71</td>\n",
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      "text/plain": [
       "             open   high    low  close      volume  outstanding_share  \\\n",
       "date                                                                    \n",
       "2021-04-01  22.08  22.11  21.50  21.78  54444898.0       1.940575e+10   \n",
       "2021-04-02  21.70  21.73  21.36  21.50  58108352.0       1.940575e+10   \n",
       "2021-04-06  21.55  22.09  21.51  21.68  40110282.0       1.940575e+10   \n",
       "2021-04-07  21.88  21.93  21.31  21.64  51760459.0       1.940575e+10   \n",
       "2021-04-08  21.46  21.73  21.33  21.56  38302950.0       1.940575e+10   \n",
       "2021-04-09  21.71  21.72  21.08  21.30  39896028.0       1.940575e+10   \n",
       "\n",
       "            turnover  \n",
       "date                  \n",
       "2021-04-01  0.002806  \n",
       "2021-04-02  0.002994  \n",
       "2021-04-06  0.002067  \n",
       "2021-04-07  0.002667  \n",
       "2021-04-08  0.001974  \n",
       "2021-04-09  0.002056  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ak.stock_zh_a_daily(start_date='20210401', end_date='20210410')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>交易日期</th>\n",
       "      <th>上证指数</th>\n",
       "      <th>上证指数涨跌幅</th>\n",
       "      <th>大宗交易成交总额</th>\n",
       "      <th>溢价成交总额</th>\n",
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       "      <th>折价成交总额</th>\n",
       "      <th>折价成交总额占比</th>\n",
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       "      <th>0</th>\n",
       "      <td>2021-04-09</td>\n",
       "      <td>3450.68</td>\n",
       "      <td>-0.0092</td>\n",
       "      <td>173554.27</td>\n",
       "      <td>17528.60</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>62477.65</td>\n",
       "      <td>0.3600</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-04-08</td>\n",
       "      <td>3482.55</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>165133.96</td>\n",
       "      <td>24913.84</td>\n",
       "      <td>0.1509</td>\n",
       "      <td>97758.40</td>\n",
       "      <td>0.5920</td>\n",
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       "      <th>2</th>\n",
       "      <td>2021-04-07</td>\n",
       "      <td>3479.63</td>\n",
       "      <td>-0.0010</td>\n",
       "      <td>167103.37</td>\n",
       "      <td>10717.24</td>\n",
       "      <td>0.0641</td>\n",
       "      <td>52253.94</td>\n",
       "      <td>0.3127</td>\n",
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       "      <th>3</th>\n",
       "      <td>2021-04-06</td>\n",
       "      <td>3482.97</td>\n",
       "      <td>-0.0004</td>\n",
       "      <td>177644.73</td>\n",
       "      <td>12034.46</td>\n",
       "      <td>0.0677</td>\n",
       "      <td>126945.50</td>\n",
       "      <td>0.7146</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-04-02</td>\n",
       "      <td>3484.39</td>\n",
       "      <td>0.0052</td>\n",
       "      <td>115169.20</td>\n",
       "      <td>10094.75</td>\n",
       "      <td>0.0877</td>\n",
       "      <td>73538.19</td>\n",
       "      <td>0.6385</td>\n",
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       "    <tr>\n",
       "      <th>2730</th>\n",
       "      <td>2010-01-08</td>\n",
       "      <td>3196.00</td>\n",
       "      <td>0.0010</td>\n",
       "      <td>22085.22</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>22085.22</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>2010-01-07</td>\n",
       "      <td>3192.78</td>\n",
       "      <td>-0.0189</td>\n",
       "      <td>20953.26</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>20953.26</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2732</th>\n",
       "      <td>2010-01-06</td>\n",
       "      <td>3254.22</td>\n",
       "      <td>-0.0085</td>\n",
       "      <td>45197.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>45197.73</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2733</th>\n",
       "      <td>2010-01-05</td>\n",
       "      <td>3282.18</td>\n",
       "      <td>0.0118</td>\n",
       "      <td>19188.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>19188.66</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2734</th>\n",
       "      <td>2010-01-04</td>\n",
       "      <td>3243.76</td>\n",
       "      <td>-0.0102</td>\n",
       "      <td>22476.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>22476.90</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2735 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           交易日期     上证指数  上证指数涨跌幅   大宗交易成交总额    溢价成交总额  溢价成交总额占比     折价成交总额  \\\n",
       "0    2021-04-09  3450.68  -0.0092  173554.27  17528.60    0.1010   62477.65   \n",
       "1    2021-04-08  3482.55   0.0008  165133.96  24913.84    0.1509   97758.40   \n",
       "2    2021-04-07  3479.63  -0.0010  167103.37  10717.24    0.0641   52253.94   \n",
       "3    2021-04-06  3482.97  -0.0004  177644.73  12034.46    0.0677  126945.50   \n",
       "4    2021-04-02  3484.39   0.0052  115169.20  10094.75    0.0877   73538.19   \n",
       "...         ...      ...      ...        ...       ...       ...        ...   \n",
       "2730 2010-01-08  3196.00   0.0010   22085.22      0.00    0.0000   22085.22   \n",
       "2731 2010-01-07  3192.78  -0.0189   20953.26      0.00    0.0000   20953.26   \n",
       "2732 2010-01-06  3254.22  -0.0085   45197.73      0.00    0.0000   45197.73   \n",
       "2733 2010-01-05  3282.18   0.0118   19188.66      0.00    0.0000   19188.66   \n",
       "2734 2010-01-04  3243.76  -0.0102   22476.90      0.00    0.0000   22476.90   \n",
       "\n",
       "      折价成交总额占比  \n",
       "0       0.3600  \n",
       "1       0.5920  \n",
       "2       0.3127  \n",
       "3       0.7146  \n",
       "4       0.6385  \n",
       "...        ...  \n",
       "2730    1.0000  \n",
       "2731    1.0000  \n",
       "2732    1.0000  \n",
       "2733    1.0000  \n",
       "2734    1.0000  \n",
       "\n",
       "[2735 rows x 8 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ak.stock_dzjy_sctj()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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